\subsubsection{Performance}
As explained above, we can not expect our system to generate completely optimal solutions considering the limited information agents have of their environment. We can however, increase general performance by considering multiple sequences of pick up and delivery of a package. By evaluating paths multiple sequences deep, however, we can allow a truck to make the trade-off between increased distance to the first pick up point but lower distance to the following pick up point. This way, the total distance driven by the trucks will be lower in the average environment. This will, if we casually ignore the possiblity of truck starvation, lead to a lower average pick up time for the packages and thus provide better solutions.